DeweiHu / OCT_DDPM

Application of Diffusion Probablistic Model for unsupervised OCT denoising

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about grayscale range of data

weilongMao opened this issue · comments

Is there any requirement for the grayscale range of data?
Do I need to normalize the data to [0,1] ?
Thank you very much!

Hello, I see that your code normalizes the data to [-1,1], so how do you say normalize to [0,1]

Hi, I updated the normalization code earlier this year, it will normalize the intensity to [-1,1] now.

Thank you very much for your answer. I am also using normalization to [-1,1]. During the training process, I used a noisy OCT image with a size of 512 * 512, but the loss did not decrease or converge during the training process. Do you know the reason.

Hi, I uploaded a checkpoint of my model in the folder ckpts. I normalized my instensity range to [1,3] when training this model. You can try if it works for you.

非常感谢您的回答。我也使用规范化来 [-1,1]。在训练过程中,我使用了大小为 512 * 512 的噪声 OCT 图像,但在训练过程中损失没有减少或收敛。你知道原因吗。

Hello, I have such a problem now, do you know the reason?